The role of
cocoa systems for climate change mitigation and adaptation has increased
substantially because of their capability to trap carbon dioxide from the
atmosphere and deposited in the cocoa trees as carbon. Development of
aboveground biomass (AGB) models for cocoa plantations is crucial for accurate
estimation of carbon stocks in the cocoa systems, however, allometric models
for estimating AGB for cocoa plantations remain a challenge for cocoa producing
countries in Sub-Saharan Africa especially Ghana. The aim of this study is to
develop allometric model that can be used for the estimation of AGB for cocoa
plantations in Ghana, as well as West Africa. Destructive sampling was carried
out on 110 cocoa trees obtained from the cocoa rehabilitation exercise for the
development of the allometric models. Diameter at breast height (D), total tree height (H) and wood density (ρ) were used as predictors to develop
seven models. The best model was selected based on coefficient of determination
(R2), index of agreement (IA), root mean squared error
(RMSE), bias (E%), mean absolute error (MAE) and corrected akaike information
criterion (AICC) and percentage relative standard error (PRSE) of
the estimated parameters. The selected model, which was the one with the
predictors D and ρ, was given as; AGB = 0.7217ρ(D2)0.921. It was
compared with the Yuliasmara
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